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Getting Started with Microsoft Agent Framework: Build Practical AI Agents

Microsoft Reactor

AI Genius Series

Microsoft Agent Framework

agentic AI

AI agents

multi-agent workflows

agent loop

context providers

skills

tool calling

Model Context Protocol

MCP

AGUI

Azure OpenAI

Cosmos DB

long-term memory

human in the loop

approvals workflow

observability

OpenTelemetry

Application Insights

.NET

C#

ASP.NET Core

React

Copilot Kit

Aspire Dashboard

Azure Container Apps

Azure Developer CLI

Docker

Автор: Microsoft Reactor

Загружено: 2026-05-12

Просмотров: 7422

Описание: AI agents are moving fast, but building one that delivers real value requires more than just prompts.

In this session, you’ll get a hands‑on introduction to the Microsoft Agent Framework, focusing on how to design and build practical AI agents that can reason, take actions, and integrate with real systems. You’ll explore how agentic AI fits into modern application architectures and how developers can move from experimentation to production‑ready agents.

You Will Learn:
Core concepts behind agentic AI and intelligent agents
How the Microsoft Agent Framework is structured and applied
How to build agents that interact with tools, APIs, and workflows
Best practices for creating practical, extensible AI agents

Technologies Used:
GitHub Copilot
GitHub Actions
Agentic AI patterns
GitHub‑based CI/CD pipelines

Who Should Attend:
Developers getting started with agentic AI
Engineers building AI‑powered applications or services
Architects exploring production‑ready agent frameworks
Anyone who wants to move beyond AI demos to real implementations

⏱️ Chapters
00:00 - Welcome and session kickoff
02:28 - Introducing the AI Genius Series (Season 4)
03:09 - What is the Microsoft Agent Framework?
03:30 - Session agenda and demo overview
04:27 - Foundations of agentic applications
07:44 - The agent loop explained
09:24 - Why Microsoft Agent Framework?
11:04 - Documentation and environment setup
15:36 - Architecture overview of the travel assistant
16:47 - Multi-agent design and responsibilities
18:02 - Demo 1: Context management with context providers
26:52 - Managing context window and cost considerations
26:54 - Demo 2: Skills for modular knowledge
34:11 - Demo 3: Integrating MCP tools
38:48 - Tool approvals and human-in-the-loop workflows
43:05 - End-to-end travel assistant demo
47:17 - Long-term memory and user personalisation
49:41 - AGUI and rich front-end interactions
52:38 - Backend and frontend code walkthrough
58:19 - Scaling with multi-agent workflows
1:02:09 - Multi-agent routing and handoff demo
1:03:29 - Key takeaways and learning recap
1:04:01 - Resources and next steps
1:05:06 - AI Genius badge and upcoming sessions
1:06:19 - Live Q&A

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Getting Started with Microsoft Agent Framework: Build Practical AI Agents

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